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Update app.py
Browse files
app.py
CHANGED
@@ -7,29 +7,29 @@ from fastapi import FastAPI
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# Create a FastAPI app
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app = FastAPI()
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# Sample country data with random progress percentages
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def generate_data():
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return {
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}
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# HTML template - avoiding f-strings with JavaScript template literals
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@@ -237,12 +237,15 @@ HTML_TEMPLATE = """
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.then(function(data) {
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console.log('GeoJSON data loaded');
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//
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const relevantCountryCodes = Object.keys(countryData);
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// Log countries in data
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console.log('Countries in countryData:', relevantCountryCodes);
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// Add ocean background
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svg.append('rect')
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@@ -250,50 +253,213 @@ HTML_TEMPLATE = """
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.attr('height', height)
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.attr('fill', '#0f1218');
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// Filter the features
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const relevantFeatures = data.features.filter(d =>
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relevantCountryCodes.includes(d.
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);
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console.log('Filtered features count:', relevantFeatures.length);
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//
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.attr('stroke', '#0f1218')
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.attr('stroke-width', 1)
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// Add a legend on the right side of the map
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const legendWidth = 200;
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# Create a FastAPI app
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app = FastAPI()
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# Sample country data with random progress percentages - using the proper ISO codes
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def generate_data():
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return {
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"MEX": {"name": "Mexico", "percent": random.randint(10, 90)},
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"ARG": {"name": "Argentina", "percent": random.randint(10, 90)},
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"COL": {"name": "Colombia", "percent": random.randint(10, 90)},
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"CHL": {"name": "Chile", "percent": random.randint(10, 90)},
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"PER": {"name": "Peru", "percent": random.randint(10, 90)},
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"ESP": {"name": "Spain", "percent": random.randint(10, 90)},
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"BRA": {"name": "Brazil", "percent": random.randint(10, 90)},
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"VEN": {"name": "Venezuela", "percent": random.randint(10, 90)},
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"ECU": {"name": "Ecuador", "percent": random.randint(10, 90)},
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"BOL": {"name": "Bolivia", "percent": random.randint(10, 90)},
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"PRY": {"name": "Paraguay", "percent": random.randint(10, 90)},
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"URY": {"name": "Uruguay", "percent": random.randint(10, 90)},
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"CRI": {"name": "Costa Rica", "percent": random.randint(10, 90)},
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"PAN": {"name": "Panama", "percent": random.randint(10, 90)},
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"DOM": {"name": "Dominican Republic", "percent": random.randint(10, 90)},
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"GTM": {"name": "Guatemala", "percent": random.randint(10, 90)},
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"HND": {"name": "Honduras", "percent": random.randint(10, 90)},
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"SLV": {"name": "El Salvador", "percent": random.randint(10, 90)},
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"NIC": {"name": "Nicaragua", "percent": random.randint(10, 90)},
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"CUB": {"name": "Cuba", "percent": random.randint(10, 90)}
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}
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# HTML template - avoiding f-strings with JavaScript template literals
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.then(function(data) {
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console.log('GeoJSON data loaded');
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// The relevant country codes
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const relevantCountryCodes = Object.keys(countryData);
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// Log countries in data
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console.log('Countries in countryData:', relevantCountryCodes);
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// Log some sample features to check the properties structure
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const sampleFeatures = data.features.slice(0, 3);
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console.log('Sample feature properties:', sampleFeatures.map(f => f.properties));
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// Add ocean background
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svg.append('rect')
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.attr('height', height)
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.attr('fill', '#0f1218');
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// Filter the features - check for id match
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const relevantFeatures = data.features.filter(d =>
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relevantCountryCodes.includes(d.id)
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);
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console.log('Filtered features count:', relevantFeatures.length);
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// If we still don't have matches, look more deeply at the data structure
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if (relevantFeatures.length === 0) {
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console.log('No matches found using id, checking all feature properties');
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// Get the first 10 features to examine their structure
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const firstTen = data.features.slice(0, 10);
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console.log('First ten features:', firstTen);
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// Look for our countries in all features
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const latinAmericanFeatures = data.features.filter(f => {
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// Check various properties that might contain the country code
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return relevantCountryCodes.includes(f.id) ||
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(f.properties && relevantCountryCodes.includes(f.properties.iso_a3)) ||
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(f.properties && relevantCountryCodes.includes(f.properties.name));
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});
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console.log('Latin American features found:', latinAmericanFeatures.length);
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// If there are still no matches, just use all features and filter visually
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if (latinAmericanFeatures.length === 0) {
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console.log('Still no matches, using all features and hiding non-Latin American countries');
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// Draw all countries but only color our target ones
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svg.selectAll('.country')
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.data(data.features)
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.enter()
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.append('path')
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.attr('class', 'country')
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.attr('d', path)
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.attr('fill', function(d) {
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// Try to match with id or iso_a3
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if (d.id && countryData[d.id]) {
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return colorScale(countryData[d.id].percent);
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} else if (d.properties && d.properties.iso_a3 && countryData[d.properties.iso_a3]) {
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return colorScale(countryData[d.properties.iso_a3].percent);
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} else if (d.properties && d.properties.name && countryData[d.properties.name]) {
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return colorScale(countryData[d.properties.name].percent);
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} else {
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// Try checking if it's a Latin American country by name
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const latinAmericanCountries = [
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'Mexico', 'Argentina', 'Colombia', 'Chile', 'Peru', 'Spain',
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'Brazil', 'Venezuela', 'Ecuador', 'Bolivia', 'Paraguay',
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'Uruguay', 'Costa Rica', 'Panama', 'Dominican Republic',
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'Guatemala', 'Honduras', 'El Salvador', 'Nicaragua', 'Cuba'
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];
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if (d.properties && latinAmericanCountries.includes(d.properties.name)) {
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// Find the matching country in our data
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for (const code in countryData) {
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if (countryData[code].name === d.properties.name) {
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return colorScale(countryData[code].percent);
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}
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}
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}
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// If not a target country, make it transparent
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return 'transparent';
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}
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})
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.attr('stroke', function(d) {
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// Only show outlines for Latin American countries
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const latinAmericanCountries = [
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'Mexico', 'Argentina', 'Colombia', 'Chile', 'Peru', 'Spain',
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'Brazil', 'Venezuela', 'Ecuador', 'Bolivia', 'Paraguay',
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'Uruguay', 'Costa Rica', 'Panama', 'Dominican Republic',
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'Guatemala', 'Honduras', 'El Salvador', 'Nicaragua', 'Cuba'
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];
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if (d.properties && latinAmericanCountries.includes(d.properties.name)) {
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return '#0f1218';
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} else {
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return 'transparent';
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}
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})
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.attr('stroke-width', 1)
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.on('mouseover', function(event, d) {
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// Only enable hover for target countries
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if (d.id && countryData[d.id]) {
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const iso = d.id;
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showTooltip(event, iso);
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} else if (d.properties && d.properties.iso_a3 && countryData[d.properties.iso_a3]) {
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const iso = d.properties.iso_a3;
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showTooltip(event, iso);
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} else if (d.properties && d.properties.name) {
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// Find the matching country in our data by name
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for (const code in countryData) {
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if (countryData[code].name === d.properties.name) {
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showTooltip(event, code);
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break;
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}
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}
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}
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})
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.on('mousemove', function(event) {
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tooltip.style('left', (event.pageX + 15) + 'px')
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.style('top', (event.pageY + 15) + 'px');
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})
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.on('mouseout', function() {
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d3.select(this)
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.attr('stroke', function(d) {
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const latinAmericanCountries = [
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'Mexico', 'Argentina', 'Colombia', 'Chile', 'Peru', 'Spain',
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'Brazil', 'Venezuela', 'Ecuador', 'Bolivia', 'Paraguay',
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'Uruguay', 'Costa Rica', 'Panama', 'Dominican Republic',
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'Guatemala', 'Honduras', 'El Salvador', 'Nicaragua', 'Cuba'
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];
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if (d.properties && latinAmericanCountries.includes(d.properties.name)) {
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return '#0f1218';
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} else {
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return 'transparent';
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}
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})
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.attr('stroke-width', 1);
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tooltip.style('opacity', 0);
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});
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} else {
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// Draw only the Latin American features
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svg.selectAll('.country')
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.data(latinAmericanFeatures)
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.enter()
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.append('path')
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.attr('class', 'country')
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.attr('d', path)
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.attr('fill', function(d) {
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if (d.id && countryData[d.id]) {
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return colorScale(countryData[d.id].percent);
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} else if (d.properties && d.properties.iso_a3 && countryData[d.properties.iso_a3]) {
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return colorScale(countryData[d.properties.iso_a3].percent);
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} else {
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return colorScale(50); // Default to mid-range if no match
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}
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})
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.attr('stroke', '#0f1218')
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.attr('stroke-width', 1)
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.on('mouseover', function(event, d) {
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if (d.id && countryData[d.id]) {
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const iso = d.id;
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showTooltip(event, iso);
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} else if (d.properties && d.properties.iso_a3 && countryData[d.properties.iso_a3]) {
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const iso = d.properties.iso_a3;
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showTooltip(event, iso);
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}
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})
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.on('mousemove', function(event) {
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tooltip.style('left', (event.pageX + 15) + 'px')
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.style('top', (event.pageY + 15) + 'px');
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})
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.on('mouseout', function() {
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d3.select(this)
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.attr('stroke', '#0f1218')
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.attr('stroke-width', 1);
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tooltip.style('opacity', 0);
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});
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}
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} else {
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// Draw only our target countries
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svg.selectAll('.country')
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.data(relevantFeatures)
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.enter()
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.append('path')
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.attr('class', 'country')
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.attr('d', path)
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.attr('fill', function(d) {
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const iso = d.id;
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return colorScale(countryData[iso].percent);
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})
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.attr('stroke', '#0f1218')
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.attr('stroke-width', 1)
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.on('mouseover', function(event, d) {
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const iso = d.id;
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showTooltip(event, iso);
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})
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.on('mousemove', function(event) {
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tooltip.style('left', (event.pageX + 15) + 'px')
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.style('top', (event.pageY + 15) + 'px');
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})
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.on('mouseout', function() {
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d3.select(this)
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.attr('stroke', '#0f1218')
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.attr('stroke-width', 1);
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tooltip.style('opacity', 0);
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});
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}
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// Function to show tooltip
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function showTooltip(event, iso) {
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d3.select(event.currentTarget)
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.attr('stroke', '#fff')
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.attr('stroke-width', 1.5);
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tooltip.style('opacity', 1)
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.style('left', (event.pageX + 15) + 'px')
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.style('top', (event.pageY + 15) + 'px')
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.html('<strong>' + countryData[iso].name + '</strong><br/>' +
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'Progress: ' + countryData[iso].percent + '%');
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}
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// Add a legend on the right side of the map
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const legendWidth = 200;
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